Host OS Write Request Offloading to GPU via Shared Memory
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Solution Overview
Problem
Computing devices with increasing internal components face inefficiencies in utilizing resources, leading to suboptimal performance due to complex management of data processing tasks.
Innovation Solution
A method where a host operating system receives write requests within a predetermined time window, stores data in shared memory, and sends offload requests to specialized virtual machines (VMs) when a threshold is reached, allowing GPUs to process data efficiently through parallel processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the host operating system processes all write requests sequentially using the CPU, then the system is simple to manage, but the processing speed and throughput are limited
Solution Approach 1:
The patent segments the write request processing workload by separating it into two paths: simple write requests handled by the CPU and parallelizable write requests offloaded to GPU. This segmentation allows the system to leverage GPU parallel processing capabilities for suitable tasks while maintaining CPU simplicity for other operations, thereby increasing throughput without proportionally increasing system complexity
Solution Approach 2:
The patent introduces a write request classification mechanism as an intermediary that determines whether each write request should be processed by the CPU or offloaded to the GPU. This intermediary layer manages the complexity of coordinating multiple processing units while enabling the system to achieve higher throughput through intelligent task distribution
2Speed
If the system offloads write requests to GPU for parallel processing, then the processing speed increases, but the system complexity increases due to coordination overhead
Solution Approach 1:
The patent applies preliminary action by classifying write requests as either simple or parallelizable before execution. This pre-classification allows the system to prepare appropriate processing paths in advance, reducing coordination overhead during actual execution. By determining the processing mode beforehand, the system minimizes runtime complexity while maintaining high processing speed for parallelizable requests
3Productivity
If the host operating system processes write requests immediately, then the response time is fast, but the resource utilization is suboptimal
Solution Approach 1:
The patent implements dynamic processing by adapting the execution strategy based on the characteristics of each write request. Simple requests are processed immediately by the CPU for fast response, while parallelizable requests are offloaded to GPU for efficient resource utilization. This dynamic approach allows the system to optimize resource utilization without significantly increasing processing time for time-sensitive operations
Data Source
AI summary
A method for processing data includes receiving a write request by a host operating system during a predetermined time window, storing data associated with the write request in a shared memory, making a first determination that a threshold number of write requests are obtained within the predetermined time window, and, in response to the first determination, sending an offload request to a virtual machine (VM), wherein the offload request specifies at least the write request.